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Semantically-Enabled Sensor Plug & Play for the Sensor Web
Environmental sensors have continuously improved by becoming smaller, cheaper, and more intelligent over the past years. As consequence of these technological advancements, sensors are increasingly deployed to monitor our environment. The large variety of available sensor types with often incompatib...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231708/ https://www.ncbi.nlm.nih.gov/pubmed/22164033 http://dx.doi.org/10.3390/s110807568 |
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author | Bröring, Arne Maúe, Patrick Janowicz, Krzysztof Nüst, Daniel Malewski, Christian |
author_facet | Bröring, Arne Maúe, Patrick Janowicz, Krzysztof Nüst, Daniel Malewski, Christian |
author_sort | Bröring, Arne |
collection | PubMed |
description | Environmental sensors have continuously improved by becoming smaller, cheaper, and more intelligent over the past years. As consequence of these technological advancements, sensors are increasingly deployed to monitor our environment. The large variety of available sensor types with often incompatible protocols complicates the integration of sensors into observing systems. The standardized Web service interfaces and data encodings defined within OGC’s Sensor Web Enablement (SWE) framework make sensors available over the Web and hide the heterogeneous sensor protocols from applications. So far, the SWE framework does not describe how to integrate sensors on-the-fly with minimal human intervention. The driver software which enables access to sensors has to be implemented and the measured sensor data has to be manually mapped to the SWE models. In this article we introduce a Sensor Plug & Play infrastructure for the Sensor Web by combining (1) semantic matchmaking functionality, (2) a publish/subscribe mechanism underlying the SensorWeb, as well as (3) a model for the declarative description of sensor interfaces which serves as a generic driver mechanism. We implement and evaluate our approach by applying it to an oil spill scenario. The matchmaking is realized using existing ontologies and reasoning engines and provides a strong case for the semantic integration capabilities provided by Semantic Web research. |
format | Online Article Text |
id | pubmed-3231708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32317082011-12-07 Semantically-Enabled Sensor Plug & Play for the Sensor Web Bröring, Arne Maúe, Patrick Janowicz, Krzysztof Nüst, Daniel Malewski, Christian Sensors (Basel) Article Environmental sensors have continuously improved by becoming smaller, cheaper, and more intelligent over the past years. As consequence of these technological advancements, sensors are increasingly deployed to monitor our environment. The large variety of available sensor types with often incompatible protocols complicates the integration of sensors into observing systems. The standardized Web service interfaces and data encodings defined within OGC’s Sensor Web Enablement (SWE) framework make sensors available over the Web and hide the heterogeneous sensor protocols from applications. So far, the SWE framework does not describe how to integrate sensors on-the-fly with minimal human intervention. The driver software which enables access to sensors has to be implemented and the measured sensor data has to be manually mapped to the SWE models. In this article we introduce a Sensor Plug & Play infrastructure for the Sensor Web by combining (1) semantic matchmaking functionality, (2) a publish/subscribe mechanism underlying the SensorWeb, as well as (3) a model for the declarative description of sensor interfaces which serves as a generic driver mechanism. We implement and evaluate our approach by applying it to an oil spill scenario. The matchmaking is realized using existing ontologies and reasoning engines and provides a strong case for the semantic integration capabilities provided by Semantic Web research. Molecular Diversity Preservation International (MDPI) 2011-08-02 /pmc/articles/PMC3231708/ /pubmed/22164033 http://dx.doi.org/10.3390/s110807568 Text en © 2011 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Bröring, Arne Maúe, Patrick Janowicz, Krzysztof Nüst, Daniel Malewski, Christian Semantically-Enabled Sensor Plug & Play for the Sensor Web |
title | Semantically-Enabled Sensor Plug & Play for the Sensor Web |
title_full | Semantically-Enabled Sensor Plug & Play for the Sensor Web |
title_fullStr | Semantically-Enabled Sensor Plug & Play for the Sensor Web |
title_full_unstemmed | Semantically-Enabled Sensor Plug & Play for the Sensor Web |
title_short | Semantically-Enabled Sensor Plug & Play for the Sensor Web |
title_sort | semantically-enabled sensor plug & play for the sensor web |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231708/ https://www.ncbi.nlm.nih.gov/pubmed/22164033 http://dx.doi.org/10.3390/s110807568 |
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